The biochemical pregnancy loss rate remains stable up irrespective of age and differs in pattern from clinical miscarriages
Bibliographic record
Abstract
INTRODUCTION: As women age, the increasing rate of aneuploidy lead to an augmentation in the incidence of clinical miscarriages. It was anticipated that biochemical pregnancy rates would also rise with maternal age. However, no study has previously evaluated the effect of maternal age on biochemical pregnancy rates. MATERIAL AND METHODS: A retrospective cohort study of 2177 subjects who underwent single embryo transfer (SET) as part of a fresh or thawed IVF cycle were recruited from 2008 through 2012, resulting in 952 pregnancies. Data was stratified for age and compared using analysis of variance (continuous data) and chi-squared tests (categorical data). RESULTS: = .72) (Age 21-30 y: 10.7%, Age 31-35 y:9.8%, Age 36-40y:11.5%, Age 41-42 y:13.6%). CONCLUSIONS: Biochemical pregnancy loss rate did not increase as a function of age in women 21 to 42 years of age.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".